Fatigue in Patients With Advanced Terminal Cancer Correlates With Inflammation, Poor Quality of Life and Sleep, and Anxiety/Depression

2016 ◽  
Vol 33 (10) ◽  
pp. 942-947 ◽  
Author(s):  
Alex Rua Rodrigues ◽  
Damila Cristina Trufelli ◽  
Fernando Fonseca ◽  
Larissa Carvalho de Paula ◽  
Auro del Giglio
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Functional Assessment ◽  
Poor Quality ◽  
Anxiety And Depression ◽  
Terminal Cancer ◽  
Quality Of Sleep ◽  
C 30 ◽  
Anxiety Depression

Purpose: To assess which laboratory and clinical factors are associated with fatigue in patients with terminal cancer. Methods: We evaluated 51 patients with advanced incurable solid tumors using the Chalder Fatigue Questionnaire (CFQ) and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) scale for fatigue; the Pittsburgh Sleep Quality Index (PSQI-BR) for sleep quality; the Hospital Anxiety and Depression Scale (HADS) for anxiety and depression; the European Organization for Research and Treatment of Cancer (EORTC) Core Quality of Life Questionnaire, Version 3.0 (QLQ C-30); and Functional Assessment of Cancer Therapy (FACT) for quality of life. We also analyzed several inflammatory markers and the modified Glasgow prognostic score (mGPS). Results: We observed severe fatigue in 19 (38%) patients (FACIT-F score >36). There was a significant correlation between fatigue as evaluated by the CFQ and quality of sleep and between the CFQ mental fatigue subscale scores and TNF-α level. When fatigue was evaluated using the FACIT-F scale, we observed a significant association between fatigue and anxiety/depression, quality of sleep, mGPS, and hemoglobin levels. Fatigue measured both with the CFQ and FACIT-F scale correlated with poor quality of life according to the EORTC QLQ C-30. Conclusion: In patients with advanced cancer, fatigue is a common symptom associated with the presence of inflammation, poor quality of sleep, depression/anxiety, and poor quality of life.

Predictors of problematic Internet use in school going adolescents of Bhavnagar, India

2019 ◽  
Vol 65 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Sneha B Vadher ◽  
Bharat N Panchal ◽  
Ashok U Vala ◽  
Imran J Ratnani ◽  
Kinjal J Vasava ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Internet Use ◽  
Linear Regression Analysis ◽  
Poor Quality ◽  
Problematic Internet Use ◽  
Quality Of Sleep

Background: Problematic Internet use (PIU) is the inability of individuals to control their Internet use, resulting in marked distress and/or functional impairment in daily life. Aim/Objective: We assessed the frequency of PIU and predictors of PIU, including social anxiety disorder (SAD), quality of sleep, quality of life and Internet-related demographic variables among school going adolescents. Methods: This was an observational, single-centered, cross-sectional, questionnaire-based study of 1,312 school going adolescents studying in Grades 10, 11 and 12 in Bhavnagar, India. Every participant was assessed by a pro forma containing demographic details, questionnaires of Internet Addiction Test (IAT), Social Phobia Inventory (SPIN), Pittsburgh Sleep Quality Index (PSQI) and Satisfaction With Life Scale (SWLS) for PIU severity, SAD severity, Quality of Sleep assessment and Quality of Life assessment, respectively. The statistical analysis was done with SPSS Version 23 (IBM Corporation) using chi-square test, Student’s t test and Pearson’s correlation. Multiple linear regression analysis was applied to find the predictors of PIU. Results: We found frequency of PIUs as 16.7% and Internet addiction as 3.0% among school going adolescents. Participants with PIU are more likely to experience SAD ( p < .0001), poor quality of sleep ( p < .0001) and poor quality of life ( p < .0001). There is positive correlation between severity of PIU and SAD ( r = .411, p < .0001). Linear regression analysis shows PIU can be predicted by SAD, sleep quality, quality of life, English medium, male gender, total duration of Internet use, monthly cost of Internet use, education, social networking, gaming, online shopping and entertainment as purpose of Internet use. Conclusion: Participants with PIU are more likely to experience SAD, poor quality of sleep and poor quality of life.

scholarly journals Anxiety, depression and quality of life in mothers of intellectually disabled children

2018 ◽  
Vol 6 (2) ◽  
pp. 28-35
Author(s):  
N Sapkota ◽  
A K Pandey ◽  
BK Deo ◽  
MK Shrivastava
Keyword(s):  
Quality Of Life ◽  
Intellectual Disability ◽  
Poor Quality ◽  
Anxiety And Depression ◽  
Disabled Children ◽  
Intellectually Disabled ◽  
Icd 10 ◽  
Anxiety Depression ◽  
The Relationship

Introduction: Studies have shown that there is an association between Anxiety, Depression in mothers of children having Intellectual disability with poor quality of life (QOL) in mothers of such children. This study was carried with the objectives to describe the clinico-socio-demographic profile of mothers of intellectually disabled children and to investigate the relationship among anxiety and depression with quality of life in mothers with intellectually disabled children.Material And Method: Mothers (N=31), whose children's IQ score was below 70, were enrolled in to the study with their informed consent. Depression and Anxiety disorders were diagnosed as per ICD 10. Severity of depression was measured with BDI and Anxiety symptoms with STAI. WHOQOL-BREF was used to assess Quality of life. The relationship among anxiety, depression and QOL were analysed using diagonal matrix, ANOVA and Pearson correlation test.Results: The mean age of participants was 50.23 (S.D= 6.11), BDI score was 13.65(S.D= 11.301), STAI score was 53.90 (SD= 15.821), WHOQOL- BREF in all four domains was 290.90 (S.D=49.42). There was significant correlation between BDI and STAI (P=0.01, r:0.651 ) and the three domains of WHOQOL- BREF(P=0.01, r:0.821, 0.843, 0.635 respectively) scale except Environment domain. Among the participants, 48.4% (ICD 10) had depression of varying degree along with 54.8% depression as per BDI cut off score. Anxiety disorder was seen in 22.6% as per ICD 10 but as per STAI it was 53.90(SD=15.821) which was statistically significant (p:0.01, r: -0.507). Depression when compared with no diagnosis persons has poor quality of life in WHOQOL-BREF physical domain (p:0.002) but with compared to Anxiety or both it was not statistically significant.Conclusion: The findings of this study revealed that mothers of children having Intellectual disability have high level of Anxiety and Depression which indeed had impact in quality of life. J Psychiatrists’ Association of Nepal Vol. 6, No. 2, 2017 Page: 28-35

MO705SLEEP DISTRUBANCES IN PATIENTS ON PERITONEAL DIALYSIS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Dahmane Rihem ◽  
Chaker Hanen ◽  
Toumi Salma ◽  
Zini Olfa ◽  
Mseddi Fatma ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Peritoneal Dialysis ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
The Mean

Abstract Background and Aims Sleep disturbances are more common in patients with chronic renal failure and on dialysis than in the general population. They affect their mental health and quality of life. The objective of this study was to evaluate the sleep disorders of patients on peritoneal dialysis (PD). Method We report the results of a descriptive cross-sectional study in 27 patients on PD in order to assess the quality of sleep in these patients and its relation with mental health and quality of life. Sleep quality was performed using the Pittsburgh Sleep Quality Index (PSQI) to assess origin and extent of sleep disorders. Anxiety-depressive disorders were assessed using the HAD (Hospital anxiety and depression) scale. The quality of life (QOL) measurement was performed by the SF36 and KDQoL. Results We included 15 men and 12 women with an average age of 45.74 years (21–77). Eleven patients were on automated peritoneal dialysis (APD) and 16 patients on continuous ambulatory peritoneal dialysis (CAPD). The mean duration of dialysis was 45.77 ± 25 months. Poor quality of sleep was reported in 14 patients. The mean PSQI was 7.22 ± 4.87. The most affected components were sleep duration and usual sleep efficiency. Depression was objectified in 22.22% of patients and 26% of patients had anxiety. Impaired quality of sleep was associated with decreased quality of life. The components of the physical dimension of quality of life: limitation due to physical condition, physical pain were significantly lower in dialysis patients with good quality of sleep (p=0.014, p= 0.033 respectively) The mental dimension component of QOL of SF36: relationship to others, limitation due to mental condition was also lower in patients with sleep disturbances (p=0.039, p= 0.036 respectively). Symptoms and problems, as well as the effects and the burden of kidney disease were not associated with poor quality of sleep. Impaired sleep quality was also not significantly associated with depression or anxiety in our series. Conclusion Sleep disturbances are common in PD patients and are associated with decreased quality of life. Therefore, they must be taken into account in the therapeutic measures recommended in order to improve the quality of life of these patients and reduce morbidity and mortality.

scholarly journals Effectiveness of motivational interviewing on anxiety, depression, sleep quality and quality of life in heart failure patients: secondary analysis of the MOTIVATE-HF randomized controlled trial

2021 ◽  
Author(s):  
Paola Rebora ◽  
Valentina Spedale ◽  
Giuseppe Occhino ◽  
Michela Luciani ◽  
Rosaria Alvaro ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Randomized Controlled Trial ◽  
Sleep Quality ◽  
Controlled Trial ◽  
Self Care ◽  
Anxiety And Depression ◽  
Randomized Controlled ◽  
Anxiety Depression

Abstract Purpose Anxiety, depression, poor sleep quality and lower quality of life (QOL) are associated with worse outcomes in heart failure (HF) patients. Motivational interview (MI) has been effective in different patient populations to promote self-care. However, its effect on anxiety, depression, sleep quality and QOL in HF patients is unknown. The aim of this study was to evaluate the effect of MI on anxiety, depression, sleep quality and QOL over 12 months from the intervention. Methods This was a planned, secondary outcome analysis of the MOTIVATE-HF study, a three-arm randomized controlled trial (1:1:1) evaluating the effect of MI in improving self-care in HF patients. In Arm 1, the patient received MI, while in Arm 2, the patient and the caregiver received MI. Arm 3, the control group, received standard treatment. Endpoints were evaluated with the Hospital Anxiety and Depression Scale (HADS), the Pittsburgh Sleep Quality Index (PSQI), the 12-Item Short-Form Health Survey (SF-12) and the Kansas City Cardiomyopathy Questionnaire (KCCQ) every three months for one year. Results We enrolled and randomized 510 HF patient and caregiver dyads (155 dyads in Arm 1, 177 dyads in Arm 2, and 178 dyads in Arm 3). A total of 238 HF patients and 235 caregivers completed the 12-month trial. No significant changes were seen in anxiety, depression and sleep quality over time among the three study arms, but disease-specific QOL improved in the intervention groups, especially in Arm 2. Conclusion Clinicians may want to include both patients and caregivers when providing MI interventions. Further research is needed to investigate the required intensity of MI to be effective on sleep quality, anxiety and depression (ClinicalTrials.gov Identifier: NCT02894502).

scholarly journals Impact of monthly headache days on anxiety, depression and disability in migraine patients: results from the Spanish Atlas

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
P. Irimia ◽  
M. Garrido-Cumbrera ◽  
S. Santos-Lasaosa ◽  
M. Aguirre-Vazquez ◽  
J. Correa-Fernández ◽  
...  
Keyword(s):  
Quality Of Life ◽  
High Risk ◽  
Psychiatric Comorbidity ◽  
Severe Disability ◽  
Anxiety And Depression ◽  
Headache Frequency ◽  
Positive Linear Correlation ◽  
Disabled Patients ◽  
Anxiety Depression

AbstractIdentifying highly disabled patients or at high risk of psychiatric comorbidity is crucial for migraine management. The burden of migraine increases with headache frequency, but the number of headache days (HDs) per month after which disability becomes severe or the risk of anxiety and depression is higher has not been established. Here, we estimate the number of HDs per month after which migraine is associated with higher risk of anxiety and depression, severe disability and lower quality of life. We analysed 468 migraine patients (mean age 36.8 ± 10.7; 90.2% female), of whom 38.5% had ≥ 15 HDs per month. Our results show a positive linear correlation between the number of HDs per month and the risk of anxiety (r = 0.273; p < 0.001), depression (r = 0.337; p < 0.001) and severe disability (r = 0.519; p < 0.001). The risk of anxiety is higher in patients having ≥ 3HDs per month, and those with ≥ 19HDs per month are at risk of depression. Moreover, patients suffering ≥ 10HDs per month have very severe disability. Our results suggest that migraine patients with ≥ 10HDs per month are very disabled and also that those with ≥ 3HDs per month should be screened for anxiety.

scholarly journals Physical Activity as a Predictor of the Level of Stress and Quality of Sleep during COVID-19 Lockdown

2021 ◽  
Vol 18 (11) ◽  
pp. 5811
Author(s):  
Anna Lipert ◽  
Remigiusz Kozłowski ◽  
Dariusz Timler ◽  
Michał Marczak ◽  
Kamila Musiał ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Online Survey ◽  
Short Form ◽  
Well Being ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
Low Level ◽  
The Government

Background: The coronavirus pandemic and the government restrictions significantly disturbed the daily functioning of people, thereby influencing healthy behaviors, such as physical activity—the core indicator of well-being. This study evaluates the associations between physical activity (PA), the level of stress and quality of sleep during the COVID-19 pandemic lockdown. Methods: An online survey was distributed during the governmental lockdown in April 2020 and included measures for assessing physical activity, stress and sleep. The surveyed participants included all adults aged 18 years and over. The final data were collected from the 1959 respondents using: International Physical Activity Questionnaire-Short Form (IPAQ-SF), Perceived Stress Scale (PSS) and Pittsburgh Sleep Quality Index (PSQI). Findings: Almost half of the respondents indicated a low level of PA, performing only 60 min of PA daily. Most of the participants reported a moderate or high level of stress (57% and 29%, respectively) and 64% of them reported poor quality of sleep. People with low levels of stress performed on average 85.1 min/day of walking (WPA), 40.9 min/day of moderate PA (MPA) or 52.6 min/day of vigorous PA (VPA). People with good quality of sleep performed 82.9 min/day of WPA, 43.6 min/day MPA and 40.5 min/day VPA. Interpretation: The results from the study indicate that the volume of daily PA may be a predictor of the level of stress and sleep quality in adults during the COVID-19 pandemic lockdown. To retain a low level of stress and good quality of sleep, a lifestyle that allows to achieve a moderate level of physical activity should be maintained. The optimal daily dose of PA is at least 70 min per day, involving different intensities.

scholarly journals Prevalence, Correlations, and Impact of Sleep Disturbance in Chinese Meningioma Patients

2021 ◽  
Author(s):  
Dandan Zhang ◽  
Jing Wang ◽  
Xixi Gu ◽  
Zhifeng Gu ◽  
Liren Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Short Form ◽  
Binary Logistic Regression ◽  
Anxiety And Depression ◽  
Newly Diagnosed ◽  
Chi Square Analysis

Abstract Purpose Sleep disturbance is common in meningioma patients and may lead to disease aggravation and decreases health-related quality of life (HRQoL). However, the sleep quality of meningioma patients newly diagnosed and ready for surgery has not been well clarified in China. This study aims to evaluate the prevalence, correlates, and impact of sleep disturbance among Chinese meningioma patients. Methods In this cross-sectional study, meningioma patients were recruited from the Affiliated Hospital of Nantong University from January 2020 to November 2020. A series of questionnaires were applied: the 0–10 Numerical Rating Scale (NRS), the Hospital Anxiety and Depression Scale (HADS), the Multidimensional Fatigue Inventory (MFI-20), the Epworth Sleepiness Scale (ESS), the Short-Form 36 (SF-36), the Pittsburgh Sleep Quality Index (PSQI). Independent samples t test, Mann-Whitney U test, chi-square analysis, Pearson/Spearman correlation, and binary logistic regression were used to analyze the data. Results 100 meningioma patients completed the questionnaires. Sleep disturbance affected 43% of the meningioma patients and was linked to many concomitant symptoms, such as headache, fatigue, anxiety and depression. Binary logistic regression indicated that fatigue and headache were predictors of sleep disturbance in meningioma patients. Meanwhile, severe sleep disturbance led to lower quality of life. Conclusions These findings demonstrated that a considerable number of meningioma patients newly diagnosed and ready for surgery suffered from sleep disturbance, potentially contributing to impair HRQoL. Medical personnel should pay more attention to meningioma patients with sleep disturbance and take effective measures to improve sleep quality, with the ultimate goal to improve their HRQoL.

scholarly journals Impact of Anxiety and Depression on Quality of Life among Patients Undergoing Hemodialysis: A Scoping Review

2020 ◽  
Vol 2 (3) ◽  
pp. 14
Author(s):  
Fatima I. AlNashri ◽  
Hayfa H. Almutary ◽  
Elham A. Al Nagshabandi
Keyword(s):  
Quality Of Life ◽  
Scoping Review ◽  
Short Form ◽  
Hemodialysis Patients ◽  
Anxiety And Depression ◽  
Depression And Anxiety ◽  
Life Threatening ◽  
Anxiety Depression ◽  
The Impact

Context: Chronic kidney disease (CKD) is a life-threatening problem of global concern. Living with CKD is associated with many psychological problems, including depression and anxiety, which can directly or indirectly affect the quality of life. Only one review in the existing literature has assessed these associations among CKD patients using different dialysis modalities. However, the experience of these symptoms could be higher among patients on hemodialysis therapy. In this purview, there is a need to narrow the previous work to be more focused on hemodialysis patients. Aim: This scoping review aims to determine the gaps in the knowledge about the impact of anxiety and depression concerning QOL among people undergoing hemodialysis. Methods: The studies selected were those examined the relationships between depression or/and anxiety with quality of life in adult patients on hemodialysis. The CINAHL, MEDLINE, and Pub Med databases were searched for literature published between January 2012 and December 2019. The quality of the included studies was also apprised. Eleven studies met the inclusion criteria. Results: Six studies examined the impact of depression and anxiety on the quality of life. Five studies identified from the review have examined the relationships between depression and quality of life. It was established that the prevalence of anxiety and depression was high among hemodialysis patients, and the same was associated with low quality of life. Conclusion: The literature review highlights the negative associations between anxiety, depression, and quality of life among hemodialysis patients. It is, therefore, essential to screen hemodialysis patients frequently for anxiety and depression using a short-form questionnaire. This screening would allow for providing early interventions, and the potential deterioration of quality of life could be prevented. Further longitudinal studies are needed to assess these relationships. Additionally, further research is needed to determine effective interventional programs to improve the overall quality of life.

THE STUDY WAS CARRIED OUT TO ASSESS QUALITY OF SLEEP AND PERCEIVED SLEEP DISTRACTORS AMONG PATIENTS ADMITTED AT MMIMS&R HOSPITAL MULLANA AMBALA.

2021 ◽  
pp. 22-26
Author(s):  
Prakash Jha ◽  
Preeti Anand ◽  
Prashant Prashant ◽  
Priya Priya ◽  
Priyanka Roy ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sampling Technique ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
Early Recovery ◽  
Quality Sleep ◽  
Duration Of Hospitalization ◽  
Education Status ◽  
Assess Quality

A good high-quality of sleep and it's have an effect on in daily existence of both the healthful and sick character turns into one of the most important cognizance of problem. Aims: The study aimed to assess the Quality of Sleep and Perceived Sleep Distractors among patients. Methods: Non-Experimental descriptive research design was conducted among 135 patients through convenient sampling technique. Modied Sleep quality Scale and Structured Perceived Sleep Distractors Perfoma was used. Results: Showed (27.4%) of the patients had poor quality of sleep, most of the patients (47.4%) were having fair quality of sleep. Most of the patients (52.6%) were having severe distractions while sleeping, less than half (44.4%) were having moderate level of distractions while sleeping only (3.0%) perceived very severe distraction during hospital stay. There was a moderate positive relationship between Quality of Sleep and Perceived Sleep Distractors NS Score(r=0.113, p=0.19 ). Further the results also indicated that quality of sleep is only associated with Patient admitted in 2 2 (department) (χ = 30.652, p=0.01) whereas perceived sleep distractors is associated with Education status (χ = 17.280, 2 2 p=0.02), Duration of Hospitalization (χ = 45.425, p=0.00), Patient admitted in (department) (χ = 28.066, p=0.03).Conclusion: The study concludes that there is a need to identify factors responsible that hinders good quality sleep among patients admitted in hospital as well as the sleep quality can be enhanced by decreasing the sleep distractors and thus it can be helpful in the early recovery of the patients

Sign in / Sign up

Export Citation Format

Share Document